本文针对人脸图像的特点，选取一组Gabor 小波核，并用这组Gabor 小波核对人脸图像进行Gabor 小波变换，提取人脸

图像的有效信息。在此基础上，用2DPCA 对Gabor 小波提取的

数据矩阵进行降维，最后用最近邻法对人脸进行分类。-In this paper, the characteristics of face images, select a set of Gabor wavelet kernel, and check with this set of Gabor wavelet Gabor face image wavelet transform to extract useful information of face images. On this basis, with 2DPCA on data extracted Gabor wavelet dimension reduction matrix, and finally with the nearest neighbor method to classify the human face.